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Senior Data Engineer Python Jobs in Wisconsin (NOW HIRING)

Associate Data Engineer

Madison, WI · On-site

$115K - $138K/yr

Responsibilities : • Develop scalable, well‑documented ETL/ELT pipelines using T‑SQL, Python ... data engineering solutions. Qualifications : Required : • Education - Bachelor's in Computer ...

Job Title Sr Data Scientist TITLE: Sr Data Scientist EMPLOYER: Fiserv Solutions, LLC LOCATION ... with Python programming language; 4 years deploying, monitoring, and maintaining ML/DL model ...

Senior Data Analyst

Milwaukee, WI · Hybrid

$84K - $106K/yr

Title : Sr Data Analyst Location : Milwaukee, WI Type : Hybrid (3 days onsite per week) Duration ... Proficiency in Excel, SQL, R, Python, and familiarity with BI tools like Tableau or PowerBI.

Jr. Data Engineer

Germantown, WI · On-site

$116K - $139K/yr

Familiarity with at least one programming language (Python preferred) * Basic understanding of data warehousing concepts * Experience with Git or version control tools * Strong problem-solving and ...

Project - Data Engineer

Milwaukee, WI · On-site

$112K - $135K/yr

Responsibilities : • Build and enhance data pipelines on AWS using Python to ingest, transform ... apply team engineering standards. • Communicate regularly with Engagement Managers (Directors ...

New

Project - Data Engineer

Milwaukee, WI

$112K - $135K/yr

As an experienced Data Engineer - Project Delivery Analyst you will have the ability to share new ... Build and enhance data pipelines on AWS using Python to ingest, transform, and deliver data to ...

Data Engineer

Madison, WI · On-site

$115K - $138K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Data Engineer

Whitewater, WI · On-site

$112K - $135K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Data Engineer

Menomonie, WI · On-site

$113K - $135K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Data Engineer

Racine, WI · On-site

$107K - $128K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Data Engineer

Milwaukee, WI · On-site

$112K - $135K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Data Engineer

Kenosha, WI · On-site

$113K - $136K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Data Engineer

Green Bay, WI · On-site

$111K - $133K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

Google Data Specialist

Milwaukee, WI · On-site

$70K - $196K/yr

Collaborate closely with senior data engineers, ML engineers, and architects. * Contribute to ... Minimum of 2 years of experience with Python or AI or GenAI tools (Vertex AI preferred). * Bachelor ...

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Senior Data Engineer Python information

What does a Senior Data Engineer Python do?

A Senior Data Engineer Python is responsible for designing, building, and maintaining complex data pipelines and architectures using Python as a primary programming language. They work with large datasets, ensuring data is collected, stored, and processed efficiently to support analytics and business intelligence. Their role often includes optimizing data workflows, collaborating with data scientists, and implementing data quality and security best practices. Senior Data Engineers also mentor junior team members and may help define data engineering strategies for their organization.

What are the key skills and qualifications needed to thrive as a Senior Data Engineer Python, and why are they important?

To thrive as a Senior Data Engineer Python, you need deep expertise in Python programming, data modeling, and ETL pipeline design, often supported by a degree in computer science or a related field. Familiarity with big data frameworks (such as Spark or Hadoop), cloud platforms (like AWS, GCP, or Azure), and relevant certifications are highly valued. Strong problem-solving, communication, and leadership skills enable effective collaboration and project delivery in cross-functional teams. These competencies are crucial for building robust, scalable data solutions that drive business insights and operational efficiency.

What is the difference between Senior Data Engineer Python vs Data Engineer Python?

AspectSenior Data Engineer PythonData Engineer Python
Required Experience5+ years, leadership skills1-3 years, foundational skills
ResponsibilitiesDesigning architecture, mentoring, complex data pipelinesBuilding data pipelines, data collection, basic ETL tasks
CertificationsRelevant certifications (e.g., AWS, GCP)Entry-level certifications preferred
Work EnvironmentCross-functional teams, project leadershipData teams, development environment

Senior Data Engineer Python roles typically require more experience, leadership, and complex project responsibilities compared to Data Engineer Python roles, which focus on building and maintaining data pipelines with less emphasis on leadership.

How does a Senior Data Engineer specializing in Python typically collaborate with data scientists and other engineering teams?

A Senior Data Engineer working with Python often plays a central role in bridging the gap between data science and engineering teams. They design and maintain robust data pipelines that ensure clean, reliable data is available for analytics and machine learning projects. Collaboration involves frequent communication with data scientists to understand data requirements and with software engineers to integrate data solutions into production systems. This multidisciplinary teamwork helps streamline project workflows and drives the development of scalable data solutions across the organization.
What are popular job titles related to Senior Data Engineer Python jobs in Wisconsin? For Senior Data Engineer Python jobs in Wisconsin, the most frequently searched job titles are:
What cities in Wisconsin are hiring for Senior Data Engineer Python jobs? Cities in Wisconsin with the most Senior Data Engineer Python job openings:
Infographic showing various Senior Data Engineer Python job openings in Wisconsin as of June 2026, with employment types broken down into 92% Full Time, 5% Part Time, and 3% Contract. Highlights an 82% Physical, 6% Hybrid, and 12% Remote job distribution.
Associate Data Engineer

Associate Data Engineer

Baker Tilly US

Madison, WI • On-site

$115K - $138K/yr

Full-time

Posted yesterday


Baker Tilly rating

8.6

Company rating: 8.6 out of 10

Based on 31 frontline employees who took The Breakroom Quiz

5th of 17 rated bookkeepers and accountants


Job description

Job Summary:
Baker Tilly is a leading advisory, tax and assurance firm, providing clients with a genuine coast-to-coast and global advantage. The Associate Data Engineer will design, build, and optimize modern data solutions, transforming raw data into analytics-ready assets and collaborating with various stakeholders.
Responsibilities:
• Develop scalable, well‑documented ETL/ELT pipelines using T‑SQL, Python, Azure Data Factory/Fabric Data Pipelines, and Databricks; implement best‑practice patterns for performance, security, and cost control.
• Design relational and lakehouse models; create Fabric OneLake shortcuts, medallion‑style layers, and dimensional/semantic models for Power BI.
• Build automated data‑quality checks, lineage, and observability metrics; contribute to CI/CD workflows in Azure DevOps or GitHub.
• Gather requirements, demo iterative deliverables, document technical designs, and translate complex concepts to non‑technical audiences.
• Research new capabilities, share findings in internal communities of practice, and contribute to reusable accelerators. Collaborate with clients and internal stakeholders to design and implement scalable data engineering solutions.
Qualifications:
Required:
• Education – Bachelor’s in Computer Science, Information Systems, Engineering, or related field (or equivalent experience)
• Experience – 2–3 years delivering production data solutions, preferably in a consulting or client‑facing role.
• Strong T‑SQL for data transformation and performance tuning.
• Python for data wrangling, orchestration, or notebook‑based development.
• Hands‑on ETL/ELT with at least one Microsoft service (ADF, Synapse Pipelines, Fabric Data Pipelines).
Preferred:
• Project experience with Microsoft Fabric (OneLake, Lakehouses, Data Pipelines, Notebooks, Warehouse, Power BI DirectLake)
• Familiarity with Databricks, Delta Lake, or comparable lakehouse technologies
• Exposure to DevOps (YAML pipelines, Terraform/Bicep) and test automation frameworks
• Experience integrating SaaS/ERP sources (e.g., Dynamics 365, Workday, Costpoint)
Company:
Baker Tilly is a leading advisory, tax and assurance firm, providing clients with a genuine coast-to-coast and global advantage in major regions of the U.S. Founded in 1931, the company is headquartered in Chicago, IL, US, , with a team of 10001+ employees. The company is currently Late Stage.

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